| Article ID | Journal | Published Year | Pages | File Type |
|---|---|---|---|---|
| 533625 | Pattern Recognition | 2010 | 13 Pages |
Abstract
This paper presents an image reconstruction method for X-ray tomography from limited range projections. It makes use of the discrete Radon transform and a set of discrete orthogonal Tchebichef polynomials to define the projection moments and the image moments. By establishing the relationship between these two sets of moments, we show how to estimate the unknown projections from known projections in order to improve the image reconstruction. Simulation results are provided in order to validate the method and to compare its performance with some existing algorithms.
Related Topics
Physical Sciences and Engineering
Computer Science
Computer Vision and Pattern Recognition
Authors
X.B. Dai, H.Z. Shu, L.M. Luo, G.N. Han, J.L. Coatrieux,